Seminar Papers

[Article] Is executive dysfunction a risk marker or consequence of psychopathology? A test of executive function as a prospective predictor and outcome of general psychopathology in the adolescent brain cognitive development study

Summary: In this paper, they used confirmatory factor analysis (CFA) to examine the relationship between the p-factor(from Michelini) and executive functions. Also, they examined the longitudinal measurement invariance of the p-factor over the 3 different time points, baseline, 1-year follow-up, and 2-year follow-up. They found negative cross-sectional relationships between executive functions and p-factor at the baseline and 2-year follow-up.

Romer, A. L., & Pizzagalli, D. A. (2021). Is executive dysfunction a risk marker or consequence of psychopathology? A test of executive function as a prospective predictor and outcome of general psychopathology in the adolescent brain cognitive development study®. Developmental cognitive neuroscience, 51, 100994.

[Article] Neural coding of cognitive control: The representational similarity analysis approach

Summary: In this review paper, they show representational similarity analysis (RSA) as a complementary approach that can powerfully inform representational components of cognitive control theories. Their aim is to illustrate how RSA can be incorporated into cognitive control investigations to shed new light on old questions.

Freund, M. C., Etzel, J. A., & Braver, T. S. “Neural coding of cognitive control: The representational similarity analysis approach.” Trends in Cognitive Sciences(2021),25(7), 622-638.

[Article] Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics

Summary: Many studies had reported that fast fMRI can track neural activity well above the temporal limit of the canonical HRF model but the biophysical mechanisms under those techniques were not much investigated. In this study, they use visual and somatosensory tasks with simultaneous EEG-fMRI data to show the difference of the HRF’s timing and shapes by the differences of the stimulus intensity. Secondly, they show that as the spatial resolution of fMRI increases, voxel-wise HRFs begin to deviate from the canonical model, with a considerable portion of voxels exhibiting faster temporal dynamics than predicted by the canonical HRF.

Chen, Jingyuan E., et al. “Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics.” NeuroImage 245 (2021): 118658.

[Article] Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

Summary: They tried to take advantage of the complex multidimensional subspace structures that capture underlying modes of shared and unique variability across and within datasets. They designed a new method called multi dataset independent subspace analysis (MISA) that leverages joint information from multiple heterogeneous datasets in a flexible and synergistic fashion.

Silva, Rogers F., et al. “Multidataset independent subspace analysis with application to multimodal fusion.” IEEE Transactions on Image Processing 30 (2020): 588-602.

[Article] Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes

Summary: Researchers identified a large-scale association between multiple coordinated blood leukocyte gene coexpression modules and the multivariate fMRI response to speech. Associated coexpression modules were enriched in genes that are broadly expressed in the brain and many other tissues. These coexpression modules were also enriched in ASD-associated, prenatal, human-specific, and language-relevant genes. This work highlights distinctive neurobiology in ASD subtypes with different early language outcomes that is present well before such outcomes are known.

Lombardo, Michael V., et al. “Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes.” Nature neuroscience 21.12 (2018): 1680-1688.

[Article] Associations between resting-state functional connectivity and a hierarchical dimensional structure of psychopathology in middle childhood

Summary: Previously, they gained factor scores using factor analysis to CBCL of ABCD data. With this hierarchical structure level, they tried to figure out the association between these factors and resting-state functional connectivity. Using the hierarchical linear model (HLM), they found a significant increment in variance with the p-factor model & 3-factor(internalizing, externalizing, and neurodevelopmental) model.

Karcher, N. R., Michelini, G., Kotov, R., & Barch, D. M. (2021). Associations between resting-state functional connectivity and a hierarchical dimensional structure of psychopathology in middle childhood. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(5), 508-517.

[Article] Prediction of stimulus-independent and task-unrelated thought from functional brain networks

Summary: This study aims to develop and test the generalizability, specificity, and clinical relevance of a functional brain network-based marker for a well-defined feature of mind-wandering. The result was that SITUT is represented within a common pattern of brain network interactions across multiple time scales and contexts.

Kucyi, A., Esterman, M., et al. “Prediction of stimulus-independent and task-unrelated thought from functional brain networks.” Nature communications(2021), 12(1), 1-17.

[Article] Human neuroimaging reveals the subcomponents of grasping, reaching and pointing actions

Summary: This study shows us that the contributions of subcomponents of visuomotor activities have not been studied in detail (i.e., The contributions of subcomponents of visuomotor actions have not been explored in detail). Here, the Authors designed a Kinematic control experiment using hand. And they conducted selectivity analysis and compared it. They found/elucidated the different subcomponents of hand actions and the roles of specific brain regions in their computation.

Cavina-Pratesi, Cristiana, et al. “Human neuroimaging reveals the subcomponents of grasping, reaching and pointing actions.” Cortex 98 (2018): 128-148.

[Article] Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth

Summary: They utilized machine learning models to find associations between functional topography and four correlated dimensions of psychopathology and overall psychopathology (general psychopathology factor; p-factor).

Cui, Z., Pines, A. R., Larsen, B., Sydnor, V. J., Li, H., Adebimpe, A., … & Satterthwaite, T. D. (2021). Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth. bioRxiv.

[Article] Computational models of category-selective brain regions enable high-throughput tests of selectivity

Summary: A CNN model of the ventral stream was used to predict responses to the ROIs: FFA, PPA, and EBA. The model accurately predicted activations and the result was shown by synthesized stimuli using GAN. Moreover, they generated importance map for photographs where each ROI showed difference

Ratan Murty, N. A., Bashivan, P., Abate, A., DiCarlo, J. J., & Kanwisher, N. (2021). Computational models of category-selective brain regions enable high-throughput tests of selectivity. Nature communications, 12(1), 1-14.